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Title: A simple approach to quantifying the noise–ENSO interaction. Part I: deducing the state-dependency of the windstress forcing using monthly mean data

Abstract

Not provided.

Authors:
;
Publication Date:
Research Org.:
Univ. of Hawaii, Honolulu, HI (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1533284
DOE Contract Number:  
SC0005110
Resource Type:
Journal Article
Journal Name:
Climate Dynamics
Additional Journal Information:
Journal Volume: 48; Journal Issue: 1-2; Journal ID: ISSN 0930-7575
Publisher:
Springer-Verlag
Country of Publication:
United States
Language:
English
Subject:
Meteorology & Atmospheric Sciences

Citation Formats

Levine, Aaron F. Z., and Jin, Fei Fei. A simple approach to quantifying the noise–ENSO interaction. Part I: deducing the state-dependency of the windstress forcing using monthly mean data. United States: N. p., 2015. Web. doi:10.1007/s00382-015-2748-1.
Levine, Aaron F. Z., & Jin, Fei Fei. A simple approach to quantifying the noise–ENSO interaction. Part I: deducing the state-dependency of the windstress forcing using monthly mean data. United States. doi:10.1007/s00382-015-2748-1.
Levine, Aaron F. Z., and Jin, Fei Fei. Sat . "A simple approach to quantifying the noise–ENSO interaction. Part I: deducing the state-dependency of the windstress forcing using monthly mean data". United States. doi:10.1007/s00382-015-2748-1.
@article{osti_1533284,
title = {A simple approach to quantifying the noise–ENSO interaction. Part I: deducing the state-dependency of the windstress forcing using monthly mean data},
author = {Levine, Aaron F. Z. and Jin, Fei Fei},
abstractNote = {Not provided.},
doi = {10.1007/s00382-015-2748-1},
journal = {Climate Dynamics},
issn = {0930-7575},
number = 1-2,
volume = 48,
place = {United States},
year = {2015},
month = {7}
}

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